Sim is an open-source workspace to build agentic workflows. Connect your AI agents and workflows to 1,000+ integrations and LLMs.
This is the 3rd launch from Sim. View more
Sim
Launched this week
Sim is an open-source workspace to build agentic workflows. Connect your AI agents and workflows to 1,000+ integrations and LLMs.
Free Options
Launch Team / Built With
n8n
Zapier
Sim
@emirkarabeg Congratulations on the launch! "1,000 integrations" that's massive🙌🏽
Sim
@kutlwano_melamu thank you!
@emirkarabeg Let's go!!
Triforce Todos
Congrats on the launch!
100k builders on an open source tool is genuinely impressive.
BTW, what's the split between solo devs and actual teams using this in production?
Sim
@abod_rehman
Thanks so much! Great question. Solo agent builders account for 70%+ of the users on the platform, while teams actually account for 90%+ of agent and workflow runs.
Triforce Todos
@emirkarabeg great 👍
All the best
Sim
@tehreem_fatima5 you can decide which option you'd like to work with and interchange for each node in your workflow.
Apache 2.0 and soc2 out of the gate is a wild combination for a new open source agent project. usually security teams block this stuff instantly. congrats for launch @emirkarabeg 🙌 qq can i run the entire stack locally via docker-compose and still keep the visual canvas working?
Sim
@vikramp7470 of course.
npx simstudio with docker gets you running instantly.
The "chat to build" vs canvas vs code approach is interesting, most tools force you to pick one. Which one do most of your users actually end up sticking with?
Sim
@boyuan_deng1
Originally, Sim users were only building on the canvas. Now, more than 90% of the platform's usage comes from the chat. Sims love prompting!
who do you think gets the most value out of Sim today, developers, technical teams, or can non-technical users get productive quickly as well?
Sim
@aymi_malik
Great question.
Technical teams building agents and solo devs looking for automations get the most value out of Sim today.
Non-technical users still get loads of value from the Sim chat.
Love the emphasis on replacing unnecessary LLM calls with deterministic code instead of assuming everything needs an agent. Just Curious have you noticed users converging toward a small set of reusable agent patterns over time, or is every team's workflow still highly bespoke? Congrats on the launch! 🚀
Sim
@tarqiya_forgah
A pattern we're seeing often is when teams put a set of deterministic nodes first (fetching data, cleaning it, etc.) and then put the LLM-based nodes at the end to handle the last-mile and other nuances.